Short Trade on DOT

The 22 Apr 2025 at 04:00:25

With 467.7508 DOT at 3.763$ per unit.

Position size of 1760.1463 $

Take profit at 3.7373 (0.68 %) and Stop Loss at 3.7801 (0.45 %)

That's a 1.5 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.24
Prediction Score: -5.2656
Prediction 1 Probability
Strong Trade
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.01140208244
Details
  1. score: 1.03
  2. 1H
  3. ema9 - 3.75873
  4. ema21 - 3.79406
  5. ema50 - 3.82167
  6. price_ema9_diff - 0.00112394
  7. ema9_ema21_diff - -0.0093109
  8. ema21_ema50_diff - -0.00722433
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.42648
  12. kc_percentage - 0.328143
  13. kc_width_percentage - 0.0442303
  14. ¸
  15. 15m
  16. ema9 - 3.74058
  17. ema21 - 3.74162
  18. ema50 - 3.76895
  19. price_ema9_diff - 0.00599089
  20. ema9_ema21_diff - -0.000277517
  21. ema21_ema50_diff - -0.00725133
  22. all_emas_in_trend - True
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.560396
  25. kc_percentage - 0.785811
  26. kc_width_percentage - 0.0204644
  27. ¸
  28. 5m
  29. ema9 - 3.75088
  30. ema21 - 3.73782
  31. ema50 - 3.73676
  32. price_ema9_diff - 0.00323985
  33. ema9_ema21_diff - 0.00349569
  34. ema21_ema50_diff - 0.000283234
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - True
  37. rsi - 0.646574
  38. kc_percentage - 1.02895
  39. kc_width_percentage - 0.0123785
  40. ¸

📌 Time Data

Start at Closed at Duration
22 Apr 2025
04:00:25
22 Apr 2025
04:05:00
4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.763 3.7801 3.7373 1.5 1.996
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 3.763
  • Stop Loss: 3.7801
  • Take Profit: 3.7373

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.7801 - 3.763 = 0.0171

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.763 - 3.7373 = 0.0257

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0257 / 0.0171 = 1.5029

📌 Position Size

Amount Margin Quantity Leverage
1760.1463 100 467.7508 17.60
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 0.0171

Taille de position = 8 / 0.0171 = 467.84

Taille de position USD = 467.84 x 3.763 = 1760.48

Donc, tu peux acheter 467.84 avec un stoploss a 3.7801

Avec un position size USD de 1760.48$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 467.84 x 0.0171 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 467.84 x 0.0257 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

  • Taille de position 467.84
  • Taille de position USD 1760.48
  • Perte potentielle 8
  • Gain potentiel 12.02
  • Risk-Reward Ratio 1.5029

📌 Peformances

TP % Target TP $ Target
0.68 % 12.02 $
SL % Target SL $ Target
0.45 % 8 $
PNL PNL %
-7.95 $ -0.45
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.53149083178315 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.737
            [entry_price] => 3.763
            [stop_loss] => 3.7817
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-22 04:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.737
            [entry_price] => 3.763
            [stop_loss] => 3.7834
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-22 04:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.737
            [entry_price] => 3.763
            [stop_loss] => 3.7851
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-22 04:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.737
            [entry_price] => 3.763
            [stop_loss] => 3.7885
            [rr_ratio] => 1.02
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-22 04:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.037
            [max_drawdown] => 0.033
            [rr_ratio] => 1.12
            [high] => 3.79600000
            [low] => 3.72600000
            [mfe_pct] => 0.98
            [mae_pct] => 0.88
            [mfe_mae_ratio] => 1.12
            [candles_analyzed] => 24
            [start_at] => 2025-04-22T04:00:25-04:00
            [end_at] => 2025-04-22T06:00:25-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.037
            [max_drawdown] => 0.064
            [rr_ratio] => 0.58
            [high] => 3.82700000
            [low] => 3.72600000
            [mfe_pct] => 0.98
            [mae_pct] => 1.7
            [mfe_mae_ratio] => 0.58
            [candles_analyzed] => 72
            [start_at] => 2025-04-22T04:00:25-04:00
            [end_at] => 2025-04-22T10:00:25-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.78100000
            [high_after] => 3.82700000
            [low_before] => 3.68700000
            [low_after] => 3.72600000
            [is_new_high] => 
            [is_new_low] => 
        )

)